Jetson Inference
DNN Vision Library
modelDownloader.h
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22 
23 #ifndef __MODEL_DOWNLOADER_H__
24 #define __MODEL_DOWNLOADER_H__
25 
26 
27 #include "json.hpp"
28 
29 
34 bool DownloadModel( nlohmann::json& model, uint32_t retries=2 );
35 
36 
41 bool DownloadModel( const char* type, const char* name, nlohmann::json& model, uint32_t retries=2 );
42 
43 
48 bool FindModel( const char* type, const char* name );
49 
50 
55 bool FindModel( const char* type, const char* name, nlohmann::json& model );
56 
57 
62 bool FindModel( const char* type, const char* name, nlohmann::json& models, nlohmann::json& model );
63 
64 
69 bool LoadModelManifest( const char* path="networks/models.json" );
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71 
76 bool LoadModelManifest( nlohmann::json& models, const char* path="networks/models.json" );
77 
78 
83 #define JSON_STR(x) (x.is_string() ? x.get<std::string>() : "")
84 
85 
90 #define JSON_STR_DEFAULT(x, default) (x.is_string() ? x.get<std::string>() : default)
91 
92 
93 #endif
LoadModelManifest
bool LoadModelManifest(const char *path="networks/models.json")
Load the model manifest from a JSON file.
FindModel
bool FindModel(const char *type, const char *name)
Check if a model can be found in the model manifest.
DownloadModel
bool DownloadModel(nlohmann::json &model, uint32_t retries=2)
Download a pre-trained model given its JSON config.